Comparative analysis of chemical breath-prints through olfactory technology for the discrimination between SARS-CoV-2 infected patients and controls

Rodríguez-Aguilar, Maribel; León-Martínez, Lorena Díaz de; Zamora-Mendoza, Blanca Nohemí; Comas‐García, Andreu; Palomares, Sandra Elizabeth Guerra; García-Sepúlveda, Christian A.; Alcántara-Quintana, Luz Eugenia; Dı́az-Barriga, Fernando; Flores-Ramírez, Rogelio

doi:10.1016/j.cca.2021.04.015

Cited by 19 publications

(16 citation statements)

References 26 publications

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“…The detection results suggest the significant potential of the proposed method by using commercial gas sensors. Similar results were reported by other groups and resistive sensors elsewhere 10 – 13 . We are convinced that our approach can be advanced and applied in practice even if the presented results were observed in the unique environmental conditions of hospital wards.…”

Section: Discussionsupporting

confidence: 92%

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Clinical studies of detecting COVID-19 from exhaled breath with electronic nose

Kwiatkowski

Borys

Sikorska

et al. 2022

Sci Rep

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The COVID-19 pandemic has attracted numerous research studies because of its impact on society and the economy. The pandemic has led to progress in the development of diagnostic methods, utilizing the polymerase chain reaction (PCR) as the gold standard for coronavirus SARS-CoV-2 detection. Numerous tests can be used at home within 15 min or so but of with lower accuracy than PCR. There is still a need for point-of-care tests available for mass daily screening of large crowds in airports, schools, and stadiums. The same problem exists with fast and continuous monitoring of patients during their medical treatment. The rapid methods can use exhaled breath analysis which is non-invasive and delivers the result quite fast. Electronic nose can detect a cocktail of volatile organic com-pounds (VOCs) induced by virus infection and disturbed metabolism in the human body. In our exploratory studies, we present the results of COVID-19 detection in a local hospital by applying the developed electronic setup utilising commercial VOC gas sensors. We consider the technical problems noticed during the reported studies and affecting the detection results. We believe that our studies help to advance the proposed technique to limit the spread of COVID-19 and similar viral infections.

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Section: Discussionsupporting

confidence: 92%

“…Successful results of COVID-19 detection by an electronic nose were presented elsewhere by a few independent groups 10 – 13 . The research applied nanoparticle gas sensors 14 , 15 , functionalized graphene, or carbon nanotube sensors 16 , and popular metal oxide gas sensors 17 sensitive to selected VOCs.…”

Section: Introductionmentioning

confidence: 83%

Clinical studies of detecting COVID-19 from exhaled breath with electronic nose

Kwiatkowski

Borys

Sikorska

et al. 2022

Sci Rep

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“…Subsequently, an Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) was performed as a supervised method . Finally, Canonical Analysis of Principal Coordinates (CAP) was used to order the matrices, and to determine further the level of misclassification between sampling regions, in order to validate the statistical model, the leave-one-out validation method was applied to the variables obtained with the CAP using a K-fold of n = 305 to predict group associations and thus obtain overall classification success rates, using a value of m = 199 . Additionally, the CAP model was employed to predict the clustering of the new samples.…”

Section: Methodsmentioning

confidence: 99%

One-Drop Serum Screening Test for Anal Cancer in Men via Infrared Attenuated Total Reflection Spectroscopy

et al. 2022

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Rare cancers are a challenge for clinical practice, the treatment experience at major centers to which rare cancers are referred is limited and are the most difficult to diagnose. Research to identify causes or develop prevention and early detection strategies is extremely challenging. Anal cancer is an example of a rare cancer, with the human papillomavirus (HPV) infection being the most important risk factor associated. In the early stages, anal cancer does not exhibit evident symptoms. This disease is diagnosed by means of anoscopy, which diagnoses some cases of early cancer; nevertheless, sensitivity of this test ranges between 47 and 89%. Therefore, the development of new, effective, and evidence-based screening methodologies for the early detection of rare cancers is of great relevance. In this study, the potential of ATR-FTIR spectroscopy has been explored as a sensitive, nondestructive, and inexpensive analytical method for developing disease screening platforms in serum. Spectral differences were found in the regions of 1700−1100 and 1700−1400 cm −1 between the control group and the anal cancer group related to the presence of proteins and nucleic acids. The chemometric analysis presented differences in the spectral fingerprints for both spectral regions with a high sensitivity ranging from 95.2 to 99.9% and a specificity ranging from 99.2 to 100%. This is the first step that we report for a methodology that is fast, nondestructive, and easy to perform, and the high sensitivity and specificity of the method are the basis for extensive research studies to implement these technologies in the clinical field.

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“…Over the last few years, diagnostic and monitoring methods for human diseases in clinical medicine have been extended from invasive blood analysis to noninvasive breath pattern analysis [1] , [2] , [3] , [4] . Human exhaled breath has a complex composition of gases with various chemical compounds, which include small inorganic compounds (e.g., oxygen (O 2 ), carbon dioxide (CO 2 ), and nitric oxide (NO)), non-volatile organic compounds (VOCs) (e.g., isoprostanes, leukotrienes, cytosines, and hydrogen peroxide), and VOCs (e.g., hydrocarbons, ketones, alcohols, aldehydes, and esters) [5] . Due to their low solubility in blood, mixed VOCs resulting from cellular metabolism are easily exhaled and can be used for breath analysis.…”

Section: Introductionmentioning

confidence: 99%